title: Spatially dependent filtering for removing phase distortions at the cortical surface.
abstract: Recent advances in high field magnetic resonance technology have increased the interest in the phase of the complex data. Processed phase images are derived from the phase signal by removing the bias field and phase wraps from the initial data. However, the usefulness of this data has been hindered by artifacts at the brain/non-brain surface, particularly in cortical regions. A method is proposed that efficiently removes surface artifacts by performing Gaussian filtering with spatially varying parameters of unwrapped or complex filtered phase images. The proposed method is shown to produce improved images, revealing underlying structure and detail that are otherwise obscured by surface artifacts in images produced by traditional phase processing methods.
authors.affiliation: Department of Electrical & Computer Systems Engineering, Monash University, Australia. amandang@pcomm.hfi.unimelb.edu.au
authors.forename: Amanda
authors.initials: A
authors.lastname: Ng
authors.forename: Leigh
authors.initials: L
authors.lastname: Johnston
authors.forename: Zhaolin
authors.initials: Z
authors.lastname: Chen
authors.forename: Zang-Hee
authors.initials: ZH
authors.lastname: Cho
authors.forename: Jingxin
authors.initials: J
authors.lastname: Zhang
authors.forename: Gary
authors.initials: G
authors.lastname: Egan
mesh_terms: D016477:Artifacts; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods*